TY - JOUR
T1 - Global well-posedness for 2D generalized parabolic Anderson model via paracontrolled calculus
AU - Shen, Hao
AU - Zhu, Rongchan
AU - Zhu, Xiangchan
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025
Y1 - 2025
N2 - This article revisits the problem of global well-posedness for the generalized parabolic Anderson model on R+×T2 within the framework of paracontrolled calculus (Gubinelli et al. in Forum Math, 2015). The model is given by the equation: (Formula presented.) where η∈C-1-κ with 1/6>κ>0, and F∈Cb2(R). Assume that η∈C-1-κ and can be lifted to enhanced noise, we derive new a priori bounds. The key idea follows from the recent work by Chandra et al. (A priori bounds for 2-d generalised Parabolic Anderson Model,, 2024), to represent the leading error term as a transport type term, and our techniques encompass the paracontrolled calculus, the maximum principle, and the localization approach (i.e. high-low frequency argument).
AB - This article revisits the problem of global well-posedness for the generalized parabolic Anderson model on R+×T2 within the framework of paracontrolled calculus (Gubinelli et al. in Forum Math, 2015). The model is given by the equation: (Formula presented.) where η∈C-1-κ with 1/6>κ>0, and F∈Cb2(R). Assume that η∈C-1-κ and can be lifted to enhanced noise, we derive new a priori bounds. The key idea follows from the recent work by Chandra et al. (A priori bounds for 2-d generalised Parabolic Anderson Model,, 2024), to represent the leading error term as a transport type term, and our techniques encompass the paracontrolled calculus, the maximum principle, and the localization approach (i.e. high-low frequency argument).
KW - Anderson model
KW - Global well-posedness
KW - Paracontrolled calculus
KW - Stochastic PDE
UR - http://www.scopus.com/inward/record.url?scp=105004006862&partnerID=8YFLogxK
U2 - 10.1007/s40072-025-00358-z
DO - 10.1007/s40072-025-00358-z
M3 - Article
AN - SCOPUS:105004006862
SN - 2194-0401
JO - Stochastics and Partial Differential Equations: Analysis and Computations
JF - Stochastics and Partial Differential Equations: Analysis and Computations
ER -